176 to 200 of 927 Machine Learning Jobs in London

end-to-end lifecycle of projects: from identifying opportunities in the latest research, through proof-of-concept, to production deployment. Your work will sit at the cutting edge of machine learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. This role blends technical leadership with hands-on research. You'll … extraction. Mentor and coach colleagues, offering guidance on both technical and professional development. What We're Looking For We're seeking an experienced applied scientist who combines depth in ML with leadership as an individual contributor: Deep learning expertise with significant industry experience, including 2+ years applying it to language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. … an individual contributor - setting technical direction, influencing peers, and delivering high-impact work without direct management responsibilities. Proven experience mentoring and coaching colleagues. Strong Python skills and experience with ML frameworks such as PyTorch, HF Transformers, TensorFlow, or JAX. Track record of end-to-end applied research and deploying transformer models. Deep knowledge of machine learning fundamentals and More ❯

insights and actions. Communicating technical content appropriately both internally and to customers. Building maintainable code using existing or novel data science techniques. Designing, evaluating, and implementing data science and machine learning techniques. Developing scalable models and algorithms for deployment in production environments. Applying ethical principles in handling data. Delivering high-quality work to agreed timelines and taking the … pitches and presentations. Contributing to the company strategy and helping to shape the future. Job Requirements: DV Cleared (2023, 2024, 2025) or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

across the full project lifecycle Shorten the idea-to-production cycle - from first data pull to live rate change Foster a culture of collaborative experimentation - pairing Pricing, Data Science, Machine Learning Engineering & Systems Engineering Line management and mentorship - Manage around 4 Data Scientists or Analysts and mentor members of the team and help them in their development Define … Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on Data Science operations Technical Skills: Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and … data science libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have More ❯

UK Overview DeepRec.ai has the pleasure of partnering with a remote-first NbS startup as they look to hire a Senior Applied AI Scientist to lead the development of ML-driven solutions that scientifically quantify the real-world impact of nature-based interventions. You'll join a multidisciplinary team of AI scientists, engineers, and environmental experts tackling one of the … Highbury). Clear communication, fast iteration, and support over silos. A culture that thrives on ambiguity, feedback, and a growth mindset. What You’ll Do Design, build, and scale machine learning models using environmental and observational data. Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods. Leverage foundation … team members and foster best practices in applied ML. What You Bring Strong background in applied machine learning, bayesian statistics, and causal inference. Proficiency in Python and ML frameworks such as PyTorch. Experience with cloud infrastructure (e.g., AWS, GCP). A clear, concise communication style - clear examples given when asked, not word salad. An adaptive mindset and comfort More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

data science and insurance, delivering innovative solutions that shape underwriting, pricing, claims, and customer strategy. Your new role: Deliver actionable data-driven insights to the business via advanced analytics, machine learning and AI. Work both independently and collaboratively on data science projects across business functions, including underwriting, claims, pricing, and customer analytics. Present clear and well-organised analyses … comply with all governance and regulatory requirements (e.g. GDPR, EU AI Act) and are supported by clear, comprehensive documentation. About you: Data science experience within general insurance. Experience applying machine learning and AI techniques to real-world business problems. Ability to derive meaningful insights from structured and unstructured datasets of varying sizes. Track record of implementing impactful models More ❯

learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer More ❯

learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer More ❯

and translating data into clear, actionable insights. You'll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: Leading end-to-end data science projects, primarily using survey data Translating business questions into analytical solutions with practical impact Mentoring junior … analysts and supporting team learning and development Presenting findings to clients and internal stakeholders in a clear and engaging way Exploring new approaches, including machine learning and AI Collaborating with colleagues across disciplines to design the right solutions What we're looking for: At least 3 to 5 years of experience in data science, with a strong … focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in plain English Experience leading projects and building relationships internally and externally A collaborative, proactive approach to solving More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯